Communities
Connect sessions
AI calendar
Organizations
Join Slack
Contact Sales
Search
Open menu
Home
Papers
2212.01548
Cited By
v1
v2 (latest)
FedRolex: Model-Heterogeneous Federated Learning with Rolling Sub-Model Extraction
Neural Information Processing Systems (NeurIPS), 2022
3 December 2022
Samiul Alam
Luyang Liu
Ming Yan
Mi Zhang
Re-assign community
ArXiv (abs)
PDF
HTML
Github (61★)
Papers citing
"FedRolex: Model-Heterogeneous Federated Learning with Rolling Sub-Model Extraction"
43 / 93 papers shown
pFedAFM: Adaptive Feature Mixture for Batch-Level Personalization in Heterogeneous Federated Learning
Liping Yi
Han Yu
Chao Ren
Heng-Ming Zhang
Gang Wang
Xiaoguang Liu
Xiaoxiao Li
241
2
0
27 Apr 2024
FedTrans: Efficient Federated Learning via Multi-Model Transformation
Yuxuan Zhu
Jiachen Liu
Mosharaf Chowdhury
Fan Lai
295
1
0
21 Apr 2024
Breaking the Memory Wall for Heterogeneous Federated Learning via Progressive Training
Yebo Wu
Li Li
Chengzhong Xu
FedML
228
13
0
20 Apr 2024
FedP3: Federated Personalized and Privacy-friendly Network Pruning under Model Heterogeneity
Kai Yi
Nidham Gazagnadou
Peter Richtárik
Lingjuan Lyu
324
14
0
15 Apr 2024
A Comprehensive Survey of Federated Transfer Learning: Challenges, Methods and Applications
Wei Guo
Fuzhen Zhuang
Qi. Wang
Yiqi Tong
Jin Dong
FedML
300
48
0
03 Mar 2024
FedBRB: An Effective Solution to the Small-to-Large Scenario in Device-Heterogeneity Federated Learning
Ziyue Xu
Ming Xu
Tianchi Liao
Zibin Zheng
Chuan Chen
FedML
175
3
0
27 Feb 2024
CoDream: Exchanging dreams instead of models for federated aggregation with heterogeneous models
Abhishek Singh
Gauri Gupta
Ritvik Kapila
Yichuan Shi
Alex Dang
Sheshank Shankar
Mohammed Ehab
Ramesh Raskar
FedML
239
0
0
25 Feb 2024
Federated Learning with New Knowledge: Fundamentals, Advances, and Futures
Lixu Wang
Yang Zhao
Jiahua Dong
Ating Yin
Qinbin Li
Tianlin Li
Dusit Niyato
Qi Zhu
FedML
266
4
0
03 Feb 2024
DFML: Decentralized Federated Mutual Learning
Yasser H. Khalil
A. Estiri
Mahdi Beitollahi
Nader Asadi
S. Hemati
Xu Li
Guojun Zhang
Xi Chen
160
3
0
02 Feb 2024
pFedMoE: Data-Level Personalization with Mixture of Experts for Model-Heterogeneous Personalized Federated Learning
Liping Yi
Han Yu
Chao Ren
Heng-Ming Zhang
Gang Wang
Xiaoguang Liu
Xiaoxiao Li
MoE
497
16
0
02 Feb 2024
IoT in the Era of Generative AI: Vision and Challenges
IEEE Internet Computing (IEEE Internet Comput.), 2024
Xin Wang
Zhongwei Wan
Arvin Hekmati
M. Zong
Samiul Alam
Mi Zhang
Bhaskar Krishnamachari
272
5
0
03 Jan 2024
Replica Tree-based Federated Learning using Limited Data
Ramona Ghilea
I. Rekik
181
0
0
28 Dec 2023
Model-Heterogeneous Federated Learning for Internet of Things: Enabling Technologies and Future Directions
Boyu Fan
Siyang Jiang
Xiang Su
Pan Hui
178
3
0
19 Dec 2023
Factor-Assisted Federated Learning for Personalized Optimization with Heterogeneous Data
Feifei Wang
Huiyun Tang
Yang Li
FedML
265
2
0
07 Dec 2023
Fed-urlBERT: Client-side Lightweight Federated Transformers for URL Threat Analysis
Yujie Li
Yanbin Wang
Peiyue Li
Yifan Jia
Fan Zhang
Ruitong Liu
Wenrui Ma
100
4
0
06 Dec 2023
Heroes: Lightweight Federated Learning with Neural Composition and Adaptive Local Update in Heterogeneous Edge Networks
IEEE Conference on Computer Communications (INFOCOM), 2023
Jiaming Yan
Jianchun Liu
Shilong Wang
Hong-Ze Xu
Haifeng Liu
Jianhua Zhou
FedML
221
8
0
04 Dec 2023
Agglomerative Federated Learning: Empowering Larger Model Training via End-Edge-Cloud Collaboration
IEEE Conference on Computer Communications (INFOCOM), 2023
Zhiyuan Wu
Sheng Sun
Yuwei Wang
Min Liu
Bo Gao
Quyang Pan
Tianliu He
Xue Jiang
FedML
458
24
0
01 Dec 2023
ECLM: Efficient Edge-Cloud Collaborative Learning with Continuous Environment Adaptation
Zhuang Yan
Zhenzhe Zheng
Yunfeng Shao
Bingshuai Li
Fan Wu
Guihai Chen
172
7
0
18 Nov 2023
Straggler-resilient Federated Learning: Tackling Computation Heterogeneity with Layer-wise Partial Model Training in Mobile Edge Network
Student Member Ieee Hongda Wu
F. I. C. V. Ping Wang
Aswartha Narayana
FedML
294
5
0
16 Nov 2023
pFedES: Model Heterogeneous Personalized Federated Learning with Feature Extractor Sharing
Liping Yi
Han Yu
Gang Wang
Xiaoguang Liu
228
9
0
12 Nov 2023
Distributed Personalized Empirical Risk Minimization
Neural Information Processing Systems (NeurIPS), 2023
Yuyang Deng
Mohammad Mahdi Kamani
Pouria Mahdavinia
M. Mahdavi
253
6
0
26 Oct 2023
pFedLoRA: Model-Heterogeneous Personalized Federated Learning with LoRA Tuning
Liping Yi
Han Yu
Gang Wang
Xiaoguang Liu
Xiaoxiao Li
321
27
0
20 Oct 2023
EASTER: Embedding Aggregation-based Heterogeneous Models Training in Vertical Federated Learning
Shuo Wang
Keke Gai
Jing Yu
Liehuang Zhu
Kim-Kwang Raymond Choo
Bin Xiao
FedML
286
0
0
20 Oct 2023
Multimodal Federated Learning in Healthcare: a Review
Jacob Thrasher
Alina Devkota
Prasiddha Siwakotai
Rohit Chivukula
Pranav Poudel
Chaunbo Hu
Binod Bhattarai
P. Gyawali
334
18
0
14 Oct 2023
Every Parameter Matters: Ensuring the Convergence of Federated Learning with Dynamic Heterogeneous Models Reduction
Neural Information Processing Systems (NeurIPS), 2023
Hanhan Zhou
Tian-Shing Lan
Guru Venkataramani
Wenbo Ding
302
46
0
12 Oct 2023
FedAIoT: A Federated Learning Benchmark for Artificial Intelligence of Things
Samiul Alam
Tuo Zhang
Tiantian Feng
Hui Shen
Zhichao Cao
...
JeongGil Ko
Kiran Somasundaram
Shrikanth S. Narayanan
Salman Avestimehr
Mi Zhang
396
13
0
29 Sep 2023
DFRD: Data-Free Robustness Distillation for Heterogeneous Federated Learning
Neural Information Processing Systems (NeurIPS), 2023
Kangyang Luo
Shuai Wang
Y. Fu
Xiang Li
Yunshi Lan
Minghui Gao
FedML
247
48
0
24 Sep 2023
Federated Learning Over Images: Vertical Decompositions and Pre-Trained Backbones Are Difficult to Beat
IEEE International Conference on Computer Vision (ICCV), 2023
Erdong Hu
Yu-Shuen Tang
Anastasios Kyrillidis
C. Jermaine
FedML
285
13
0
06 Sep 2023
Maestro: Uncovering Low-Rank Structures via Trainable Decomposition
International Conference on Machine Learning (ICML), 2023
Samuel Horváth
Stefanos Laskaridis
Shashank Rajput
Hongyi Wang
BDL
361
9
0
28 Aug 2023
A Survey for Federated Learning Evaluations: Goals and Measures
IEEE Transactions on Knowledge and Data Engineering (TKDE), 2023
Di Chai
Leye Wang
Liu Yang
Junxue Zhang
Kai Chen
Qian Yang
ELM
FedML
226
38
0
23 Aug 2023
Internal Cross-layer Gradients for Extending Homogeneity to Heterogeneity in Federated Learning
International Conference on Learning Representations (ICLR), 2023
Yun-Hin Chan
Rui Zhou
Running Zhao
Zhihan Jiang
Edith C.H. Ngai
FedML
246
11
0
22 Aug 2023
SLoRA: Federated Parameter Efficient Fine-Tuning of Language Models
Sara Babakniya
A. Elkordy
Yahya H. Ezzeldin
Qingfeng Liu
Kee-Bong Song
Mostafa El-Khamy
Salman Avestimehr
183
109
0
12 Aug 2023
Federated Learning for Computationally-Constrained Heterogeneous Devices: A Survey
ACM Computing Surveys (ACM Comput. Surv.), 2023
Kilian Pfeiffer
Martin Rapp
R. Khalili
J. Henkel
FedML
261
97
0
18 Jul 2023
Towards a Better Theoretical Understanding of Independent Subnetwork Training
International Conference on Machine Learning (ICML), 2023
Egor Shulgin
Peter Richtárik
AI4CE
364
8
0
28 Jun 2023
MobileASR: A resource-aware on-device learning framework for user voice personalization applications on mobile phones
International Conference on AI-ML-Systems (ICA), 2023
Zitha Sasindran
Harsha Yelchuri
Pooja S B. Rao
Prabhakar Venkata Tamma
195
1
0
15 Jun 2023
GPT-FL: Generative Pre-trained Model-Assisted Federated Learning
Tuo Zhang
Tiantian Feng
Samiul Alam
Dimitrios Dimitriadis
Sunwoo Lee
Mi Zhang
Shrikanth S. Narayanan
Salman Avestimehr
FedML
498
31
0
03 Jun 2023
Aggregating Capacity in FL through Successive Layer Training for Computationally-Constrained Devices
Neural Information Processing Systems (NeurIPS), 2023
Kilian Pfeiffer
R. Khalili
J. Henkel
FedML
289
9
0
26 May 2023
Explicit Personalization and Local Training: Double Communication Acceleration in Federated Learning
Kai Yi
Laurent Condat
Peter Richtárik
FedML
231
6
0
22 May 2023
Is Aggregation the Only Choice? Federated Learning via Layer-wise Model Recombination
Knowledge Discovery and Data Mining (KDD), 2023
Ming Hu
Zhihao Yue
Zhiwei Ling
Cheng Chen
Yihao Huang
Xian Wei
Xiang Lian
Yang Liu
Xiao He
FedML
238
25
0
18 May 2023
TimelyFL: Heterogeneity-aware Asynchronous Federated Learning with Adaptive Partial Training
Tuo Zhang
Lei Gao
Sunwoo Lee
Mi Zhang
Salman Avestimehr
FedML
237
50
0
14 Apr 2023
FedGH: Heterogeneous Federated Learning with Generalized Global Header
ACM Multimedia (ACM MM), 2023
Liping Yi
Gang Wang
Xiaoguang Liu
Zhuan Shi
Han Yu
FedML
370
143
0
23 Mar 2023
FRAug: Tackling Federated Learning with Non-IID Features via Representation Augmentation
IEEE International Conference on Computer Vision (ICCV), 2022
Haokun Chen
A. Frikha
Denis Krompass
Jindong Gu
Volker Tresp
OOD
289
44
0
30 May 2022
FedTune: Automatic Tuning of Federated Learning Hyper-Parameters from System Perspective
Huan Zhang
Mi Zhang
Xin Liu
P. Mohapatra
Michael DeLucia
FedML
447
20
0
06 Oct 2021
Previous
1
2
Page 2 of 2